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Geo-Situation for Modeling Causality of Geo-Events in Knowledge Graphs

Published 27 Jun 2022 in cs.AI | (2206.13658v1)

Abstract: This paper proposes a framework for representing and reasoning causality between geographic events by introducing the notion of Geo-Situation. This concept links to observational snapshots that represent sets of conditions, and either acts as the setting of a geo-event or influences the initiation of a geo-event. We envision the use of this framework within knowledge graphs that represent geographic entities will help answer the important question of why a geographic event occurred.

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